Signer Fingerspelling
AI-based ASL translator
About
This AI-powered application translates American Sign Language gestures into speech in real-time. It utilizes a local, privacy-preserving model trained on a vast dataset of fingerspelling images, enabling text-to-speech functionality with near real-time inference.
What's New in Signer Fingerspelling
1.0
October 15, 2024
Developer apps
FAQ
What is Signer Fingerspelling?
Signer Fingerspelling is an AI-enabled utility app that converts American Sign Language (ASL) gestures into speech in real-time on your iPhone. It uses a local, privacy-preserving model trained on a large dataset of fingerspelling gestures.
How accurate is Signer Fingerspelling?
The app is trained on 87,000 images of fingerspelling gestures, including specific signs like 'space' and 'delete'. It is optimized for near real-time inference, suggesting a high degree of accuracy for recognized gestures.
Does Signer Fingerspelling require an internet connection?
No, Signer Fingerspelling utilizes a local on-device privacy-preserving model. This means it can function without an internet connection, ensuring your gesture data remains private.
What devices does Signer Fingerspelling support?
Signer Fingerspelling is currently supported on iPhone devices. It was released on October 15, 2024, with version 1.0.
Is Signer Fingerspelling free to use?
Yes, Signer Fingerspelling is available for free. There are no in-app purchases or subscription fees associated with its use.
What is the age rating for Signer Fingerspelling?
Signer Fingerspelling has an age rating of 4+. This indicates it is suitable for users of all ages, including children.
How often is Signer Fingerspelling updated?
The app was last updated on October 15, 2024, with its initial release version 1.0. Future versions are planned to refine the Signer AI model.
What kind of gestures can Signer Fingerspelling translate?
Signer Fingerspelling is trained on 87,000 images of fingerspelling gestures, including common ones like 'space' and 'delete'. It aims to translate these into speech.
